Frigate person recognition reddit. ai) before with Blue Iris for object recognition.

Frigate person recognition reddit jpg images from Frigate’s API. Unfortunately, you have to have the detection notifications inside MQTT from Frigate for Double-Take to watch for facial recognition. If you do some digging on Linus Tech Tips videos, he has a video that kind of glances over the whys and hows. Restarted frigate and immediately noticed that my detections were much more accurate. Technically you can run double-take without frigate, but passing along camera configs is a lot easier with frigate. My plan was to use: Triggered by person detection; Verify the person is me Mar 17, 2021 · If you don’t use Frigate, then you can still utilize the Double Take API and pass any image to it for facial recognition processing. Thank you. But with full respect to the Frigate contributors, the objects that it can recognize or note really useful. If i would be able to set that confidence treshold to 75% it would save me a lot of weong tags without need for another model. I can definitely recommend reolink for use as a security camera, the AI person detection has been just about perfect for me, and the on camera AI chip is almost instantaneous. yaml and edited my minimum and threshold for objects. When the container starts it subscribes to Frigate’s MQTT events topic and looks for events that contain a person. 1 to 0. Dec 13, 2020 · Frigate and Google Coral monitor all the RTSP streams for person detection. Also, a generic animal object would be great as I've got dogs, cats, possums, coyotes, raccoons and other assorted critters. You can then trigger automations based on recognized faces and such. Everything can run inside HA supervised as add-ons. When I go into HA under "Down Main Person Motion" binary sensor, I get a rapid-fire of 9 "person detection" events in about 15 seconds - they all fire and clear after 1-2 seconds. They have recently implemented the long awaited facial recognition feature. If your object is smaller, it'll be harder to compare. Pixels are the key however. And double take will only search frigate detected person snapshots for faces. I really love Frigate combined with it's Home Assistant capabilities. Double take isn't accurate or is, it's just an interface between frigate and face recognition software. In general though, the best way to get better accuracy is to use a more accurate model Using a Frigate+ model with Frigate will detect face as a "sub label" of person. I cant seem to find an option in frigate to set a confidence treshold. I am hoping to create an automation that checks if it’s me at the front door camera. Now, Frigate did add some new features, like requiring motion to happen before recognizing a person to help with false positives, but I still found the higher quality models to be near bulletproof in recognition, and I chose to go that route and am still very happy with DOODS. A sensor is being generated, recognizing my face. latest: 5 # number of times double take will request a frigate snapshot. On the two outside cameras in areas where a person would be detected it like 71 or 73% probability. Frigate and deepstack run on jetson + coral, as jetson has a hardware video decoder for frigate, and gpu for deepstack. It ran for a few days but the pattern (person) recognition of Frigate takes too high load on the CPU to leave room for other Docker instances like Home Assistant and Plex so I decided against it. Node-RED is subscribed to those events on the Mosquitto broker. These images are I made Frigate run on my Synology 920, running both MQTT and Frigate in Docker and three camera's connected through RTSP. jpg for facial recognition. As you can imagine, having a GPU does help with facial recognition though. Frigate, downloader integration, google generative ai integration. Or car stopping, car stopped, car begins moving, car moving. It recognizes it and has a box around it but it won't record it or notify me. Would a next level of detection be object actions? Such as person standing, person walking, person running. I've used wyze, the Samsung cam, and blink in the past. Brave is on a mission to fix the web by giving users a safer, faster and more private browsing experience, while supporting content creators through a new attention-based rewards ecosystem. I would love feedback on Double Take if anyone tries it or hear about any feature requests! The best privacy online. So I've used Deepstack (now CodeProject. Posted by u/Cvalin21 - No votes and 21 comments Thanks Digiblur for shining some light on this gem! Thanks Blake and Paul for giving us such an awesome piece of software Few tips Resolution sizing -- underlying tf lite model is optimized for 300x300 pixel objects. As per the title. No, just one coral for frigate. When double take had enough pixels to work with, it works well and updates the frigate event with the name of the person detected. Now I'm using Frigate (docker) working with HA to do object detection and automation (Text-to-speech that car is coming down driveway, etc). Question, has anyone had success using Frigate detection to automate a light? I have an outdoor floodlight connected to a smart switch and wanted to use a frigate based camera feed and person occupancy to set things off. In my case, I chose compreface and it used barely any resources. Its not in the event either. It'll obviously depend on your cameras' resolution though. update_sub_labels: true # frigate 0. 11. Search privately. My frigate is often 70-71% certain it recognises a person walking around in my birdhouse. 0-beta5 and the motion binary sensor now works. If a person is detection, it sends an MQTT event to the Mosquito broker. Dec 29, 2022 · I am using Frigate on my HA alongside Deepstack/Compreface and DoubleTake. I tried BlueIris a few months ago and if i remember right it needed waaaay more resources than Frigate. I'd recommend you to use compreface instead of deepstack, as its not maintained. Also you have doubletake which is by yakowlenko, not maintained as well (it's dead). It is worth taking a look at. If it's moving, a higher percentage of the pixels will be blurry, if that makes sense. I also read the release notes and there's a lot in there. jpg for facial recognition latest: 5 # number of times double take will request a frigate snapshot. jpg for facial recognition snapshot: 5 There's an addon called Double Take that seamlessly integrates mqtt, Frigate and face recognition engine. ai) before with Blue Iris for object recognition. Perfect, that worked! I updated from 0. When the container starts it subscribes to Frigate's MQTT events topic and looks for events that contain a person. These images Working great so far, training takes no time at all on jetson. 10. The dev just put up brand new docs for the v8 release - best tip is to start with the super simple config file and build up from there. attempts: # number of times double take will request a frigate latest. Browse privately. It needs an image of at least 250x250px to reliably recognize a face. 11+ option to include names in frigate events labels: - person stop_on_match: false attempts: # number of times double take will request a frigate latest. From there install the addon in ha and you can turn detection on / off for the cams you setup. When a Frigate event is received the API begins to process the snapshot. labels: - person - mike. HA and doubletake run on another ARM sbc along with photoprism for my photos which has CPU face recognition, so I used that to get training pics for family. I have tried every self hosted photo server/software that I could get my hands on, some have a nice interface, but none have the same level of facial recognition that Immich has managed to get going. Will frigate get better over time? Is it constantly learning? I have a camera mounted above a path and it doesn't really detect a person. Mar 17, 2021 · Double Take is a proxy between Frigate and any of the facial detection projects listed above. jpg images from Frigate's API. Double-Take was developed alongside Frigate to watch for person detection. mqtt: host: xxxxxxx port: xxxx user: xxxxxx password: xxxxxx # topics for mqtt topics: frigate: frigate/events homeassistant: homeassistant matches: double-take/matches cameras: double-take/cameras # global detect settings (default: shown below) detect: match: # save match images save: true # include base64 encoded string in api results and Frigate uses 300x300 models to compare with. Badly put together automation for a first try but it’ll be so good. Never more than that. jpg and latest. Plugged the model designation into my frigate. I'm running Frigate on an NUC i5 and like 10-15 more containers without Coral and I really can't complain. In Frigate itself I counted 18 events in the span of 10 minutes ranging from ~45 seconds to 3 minutes - nothing out of the ordinary. It was now detecting people with a 95 to 99% probability. Maybe a generic 4-legged object?. snapshot: 0 # process frigate images from frigate/+/person Double Take is a proxy between Frigate and any of the facial detection projects listed above. You can then feed your image into a third party face recognition solution like Double Take, which then feeds back the detected name into Frigate as a sub label. This is using the default prompt which can be hugely improved to suit my camera. # object labels that are allowed for facial recognition. I use both reolink cameras for security and frigate for person detection automations (lights). Is there a way to improve person recognition other than increasing the threshold? There are filters that could be used, like a min_area filter for person. ctzu npwd cpqto mqxkrf addgc nrw tlqmd rlkxrn uaurvt qozsqed